#
# Copyright (c) 2021 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

version: 1.0

model:
  name: stable-diffusion
  framework: pytorch_fx                                 # Mandatory: possible values are pytorch and pytorch_fx.

device: cpu

quantization:
  approach: post_training_static_quant              # Mandatory: Quantization approach, default to dynamic quantization.

tuning:
  accuracy_criterion:
    relative: 0.01                                   # Optional. default value is relative, can also be set to absolute. this example allows relative accuracy loss: 5%.
  exit_policy:
    timeout: 0                                       # Optional: tuning timeout (seconds). default value is 0 which means early stop. combine with max_trials field to decide when to exit.
    max_trials: 20
  random_seed: 9527                                  # Optional: random seed for deterministic tuning.